К содержанию
РецензированоEN2025

MODERN TRENDS IN INTELLIGENT DATA ANALYSIS

G.N. Aimbetova (Senior lecturer Department of Nukus State Technical University) · N.D. Bekniyazova (Assistant Department of Nukus State Technical University) · S.B. Izemetov (Assistant Department of Nukus State Technical University)

Евразийский журнал академических исследований · 160-163 · 2025

Аннотация

This article explores the current trends in modern data mining, emphasizing its growing automation, complexity, and user-friendliness. Key developments such as Automated Machine Learning (AutoML), Deep Learning, Explainable AI (XAI), Graph-Based Analysis, Stream Data Processing, Federated Learning, and Quantum Computing are reshaping how data is collected, processed, and interpreted. These technologies enable more efficient, transparent, and privacy-preserving data analysis across various domains, including healthcare, finance, and social networks.

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«This article explores the current trends in modern data mining, emphasizing its growing automation, complexity, and user-friendliness.»

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This article explores the current trends in modern data mining, emphasizing its growing automation, complexity, and user-friendliness. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Узбекистан
Ключевые слова
Data Mining, machine learning, AutoML, in-depth learning, explainable AI, graphical analysis, streaming data processing, federated learning.
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